Cyber Resilience

CVE-2015-10125

Medium

Published: 05 October 2023

Published
05 October 2023
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 4.3 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N
EPSS Score 0.0008 23.3th percentile
Risk Priority 9 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2015-10125 is a medium-severity CSRF (CWE-352) vulnerability in Smackcoders Import All Pages\, Post Types\, Products\, Orders\, And Users As Xml \& Csv. Its CVSS base score is 4.3 (Medium).

Operationally, ranked at the 23.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

A vulnerability classified as problematic has been found in WP Ultimate CSV Importer Plugin 3.7.2 on WordPress. This affects an unknown part. The manipulation leads to cross-site request forgery. It is possible to initiate the attack remotely. Upgrading to version…

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3.7.3 is able to address this issue. The identifier of the patch is 13c30af721d3f989caac72dd0f56cf0dc40fad7e. It is recommended to upgrade the affected component. The identifier VDB-241317 was assigned to this vulnerability.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

smackcoders
import all pages\, post types\, products\, orders\, and users as xml \& csv
≤ 3.7.3

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-352

Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.

addresses: CWE-352

Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.

addresses: CWE-352

Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.

addresses: CWE-352

Detects anomalous request patterns consistent with cross-site request forgery.

References